Using Experimentation to Support Future Capability Needs ... · – Evaluating effect on campaigns...

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Using Experimentation to Support Future Capability Needs: CB Effects in the JFCOM Urban Resolve Experiment Ian Griffiths, Andrew Solman, Neil Dyer – Dstl Doug Brain – RiskAware Mark Biwer – Northrop Grumman Lt Col Mike Wall – DTRA UK UNCLASSIFIED Those parts produced by Dstl authors are © Crown Copyright 2007. Published with the permission of the Defence Science and Technology Laboratory on behalf of the Controller of HMSO.

Transcript of Using Experimentation to Support Future Capability Needs ... · – Evaluating effect on campaigns...

Page 1: Using Experimentation to Support Future Capability Needs ... · – Evaluating effect on campaigns – Requirements definition – Balance of investment ... • Value of Information

Using Experimentation to Support Future Capability Needs: CB Effects in the JFCOM Urban Resolve Experiment

Ian Griffiths, Andrew Solman, Neil Dyer – DstlDoug Brain – RiskAwareMark Biwer – Northrop GrummanLt Col Mike Wall – DTRA

UK UNCLASSIFIED

Those parts produced by Dstl authors are © Crown Copyright 2007. Published with the permission of the Defence Science and Technology Laboratory on behalf of the Controller of HMSO.

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© Dstl 200730 March 2007 Dstl is part of the

Ministry of Defence

Overview• Aim of M&S

• Capability– Real World Representation– Hazard Prediction Concept Demonstrator

• Applications– Training – JVTSE– Experimentation – Urban Resolve

• Summary and future plans

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Aims of M&S• Concept demonstration

• Training

• Experimentation– Evaluating effect on campaigns– Requirements definition– Balance of investment

• Raising technology readiness

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Dstl’s CBR M&S Capability• The capability splits into two areas

– Real-World Representation• Exists to stimulate Hazard Prediction Concept demonstrator

and other systems– Hazard Prediction Concept Demonstrator

• Allows demonstration and evaluation of emerging technologies

• Exploration and clarification of requirements for future hazard prediction systems

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Real-World Representation• Sophisticated CBR modelling used to

– Simulate realistic ground truth– Stimulate other systems

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Courtesy of RiskAware Ltd Courtesy of RiskAware Ltd

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Real-World Representation• The “Ground Truth”

representation consists of the following elements

– Chemical and Biological Simulator (CBSim)

– Detector models– Ground-truth visualisation

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CBSim

• CBSim provides real-time modelling capability

– Urban dispersion– Instantaneous dispersion

realisation• Terrain effects• Meander effects• Concentration realisation

– Stimulation of detectors– Casualty calculations

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CB Effects Modelling Capability

Plug and Play Architecture

Dispersion ModellingRealistic Terrain MeteorologyIPE Concentration

RealisationDetectorsCasualty Chain

Modelling

CB Effects Modelling Capability

• Dispersion Modelling– 2D and 3D CBRN sources and

hazard plumes• Terrain

– FACTS, Meander, Buildings• Meteorology

• Value of Information

• Detectors – Chemical, Biological, Bio Background

• Casualty Chain Modelling• Effects of Hazards

– IPE• Concentration Realisation• Aggregated Entities

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Dispersion Modelling - The UDM• Runs in

– Real-time– Instantaneous mode

• Different to ensemble hazard, e.g. HPAC, JEM

• Gives a single realisation

• Uses updating wind input

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CBR Plume Output

• Output of CB material plumes

– Dosage– Deposition– Concentration

• Radiological material plumes

– Cloud and ground shine– Energy deposited in tissues– Also inhaled dose

Ground shine 1 minute after a 190kg release of Cesium 137

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Realistic Meteorology modelling• Meander Model

• AERMET boundary layer model

• Empirical sea breeze model

• Linear model of flow over hills

• Slope flow model

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Generating realistic time series• Concentration of challenge at

detector calculated by UDM driven by large scale meandering winds

• Concentration realisation agent used to generate realistic time series

– Simulates turbulent variations in concentration within puff

• Particles then sampled from this time series with noise

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Detector models

• Configurable chemical detector models

• Bar based detector

• Alarms at a threshold

• Challenged by realisation of concentration

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Ground Truth Visualization

• 2D/3D representation– Buildings– Terrain– Dosage, concentration,

effects contours– Puffs– Detectors/entities

• Visualiser can be distributed from CBSim calculation core

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Hazard Prediction Concept Demonstrator

• The Concept Demonstrator consists of– SAFE Warning & Reporting, including

STEM– Alternative Courses of Action Capability– REACT hand-held commander’s tool– Sensor Placement Operational Tool

(SPOT)

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SAFE Warning & Reporting• Warning and Reporting

system includes– Source Term Estimation– ATP-45 style templates– Ensemble Average

Hazard prediction

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Alternative Courses of Action Capability• ACAT tool allows alternative

routes around plume to be evaluated.

• Hazard provided by the W&R Concept Demonstrator

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REACT hand-held commander’s tool• Rapid Evaluation and Awareness

Command Tool (REACT)• Displays CBRN situational picture

from W&R Concept Demonstrator on a PDA

• Allows observer messages to be send into W&R Concept Demonstrator

• Allows investigation into and evaluation of hand-held PDA devices for operational hazard prediction systems

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Sensor Placement Operational Tool (SPOT)

• Monte Carlo parameters– Wind speed / direction– Release type– Agent type– Time of release– Mass

• Use optimization techniques to place sensors

– Genetic Algorithm– Simulated Annealing– Greedy Algorithm

Optimal sensor placement to protectgreen area, including desirable (purple)

and exclusion (red) areas

Wind rose

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Application 1: Input into Collective Training

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JFCOM J7 Joint Virtual Training Special Event 2005

• DTRA provided CBRN input into Collective training systems

• Systems involved– SPOT– CBSim– Detectors– Warning and Reporting Concept Demonstrator– ACAT tool– REACT PDA– External systems

• OASES and WALTS

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CBSim

Detectors

Damage

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Network

Hand-helds

ACAT

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F15

CBSim

Detectors

Damage

W&R

Met

Network

Hand-helds

ACAT

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Application 2: Experimentation

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• Assess effect of technologies which will be available in 2015 against a 2005 baseline

– Overall scenario is peace enforcement in Baghdad

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JFCOM J9 Urban Resolve 2015 Experiment

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• CBRN component– Assess effect of potential

integrated CBRN defence solutions

– Effort led by DTRA & J8 JRO CBRND

– Ground truth provided by CBSim– 2005 capability represented by

HPAC– 2015 capability of

JWARN/JEM/JOEF• Emulated by SAFE W&R

and associated tools

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JFCOM J9 Urban Resolve 2015 Experiment

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CBRN and Supporting Components• Source release federate – modelled sources

• OASES – provided weather to federates

• CBSim – provided ground truth and CB effects on JSAF entities

• CAD Detectors

• JSAF – – modelled Iraqi military, some US military, and non-military entities (Iraqi police, insurgents, NGO, civilians, others)

• SAFE warning & reporting concept demonstrator– Includes source term estimation, ATP-45 & plume prediction– Emulated key required capabilities for JWARN/JEM

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JFCOM J9 Urban Resolve 2015 Experiment

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JSAF

OASES

SAFE W&R

CBSim Vis

CAD Detectors

Source Release Federate

ShapeFiles

DTRA file Specification

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Details• Releases

– Munition detonation (120mm motar attack) mustard– 11,500 gallon chlorine tanker truck

• Several levels of damage modelled dependent on attack• JSAF modelled ~230,000 entities in Baghdad• CBSim

– Modelled dispersion for multiple sources– Provided updates of CB casualty states due to contamination to

~10,000 (peak 30,000) entities every 5-20 seconds• SAFE W&R concept demonstrator

– Fused detector readings to estimate source term– Modelled ensemble plume hazard– Exported hazard contours compatible for display on COP

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Urban Resolve 2015 Results• CBRN systems must be integrated with the entire

battlespace awareness and command and control suite of the Joint Task Force

• CBRN events unfold over a significant amount of time –speedy response based on solid data and good analysis saves lives

• Future CBRN systems and processes require non-military functionality (e.g. political, economic and social)

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Summary• Presented DTRA led applications of CB simulation

capability in– Training (JFCOM J7 JVTSE)– Experimentation (JFCOM J9 Urban Resolve)

• M&S capability demonstrably able to meet requirements– Significant enhancements made

• Experimentation results of benefit to decision makers, guiding future programmes

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Future Plans• Enhancements to CBSim

– Performance improvements– Potential to increase functionality, e.g.

• Improved meteorological modelling• Biological background• Advanced CB protection models• Improved human effects modelling• Physiological burden

• Exploring possibility of linking/integrating capabilities with IWMDT/IWMDTSim

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